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Development of pseudorandom binary arrays for calibration of surface profile metrology tools
Author(s) -
Samuel K. Barber,
Paul Soldate,
Erik H. Anderson,
Rossana Cambié,
Wayne R. McKinney,
Peter Z. Takacs,
Dmytro L. Voronov,
Valeriy V. Yashchuk
Publication year - 2009
Publication title -
journal of vacuum science and technology b microelectronics and nanometer structures processing measurement and phenomena
Language(s) - English
Resource type - Journals
eISSN - 1520-8567
pISSN - 1071-1023
DOI - 10.1116/1.3245997
Subject(s) - optics , optical transfer function , spatial frequency , point spread function , spectral density , metrology , distortion (music) , physics , profilometer , transfer function , frequency domain , mathematics , computer science , bandwidth (computing) , telecommunications , surface roughness , engineering , amplifier , electrical engineering , quantum mechanics , mathematical analysis
Optical metrology tools, especially for short wavelengths (extreme ultraviolet and x-ray), must cover a wide range of spatial frequencies from the very low, which affects figure, to the important mid-spatial frequencies and the high spatial frequency range, which produces undesirable scattering. A major difficulty in using surface profilometers arises due to the unknown point-spread function (PSF) of the instruments [G. D. Boreman, Modulation Transfer Function in Optical and Electro-Optical Systems (SPIE, Bellingham, WA, 2001)] that is responsible for distortion of the measured surface profile. Generally, the distortion due to the PSF is difficult to account for because the PSF is a complex function that comes to the measurement via the convolution operation, while the measured profile is described with a real function. Accounting for instrumental PSF becomes significantly simpler if the result of measurement of a profile is presented in the spatial frequency domain as a power spectral density (PSD) distr...

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